Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations.
Daniel KelshawLuca MagriPublished in: CoRR (2024)
Keyphrases
- inverse problems
- partial differential equations
- convolutional neural networks
- image denoising
- level set
- numerical solution
- anisotropic diffusion
- image processing
- multiscale
- image reconstruction
- image enhancement
- global optimization
- energy functional
- moving objects
- convex optimization
- optimization methods
- numerical algorithms
- edge detection
- higher order
- image compression
- video sequences
- high quality
- feature extraction
- machine learning